Quori: A Community-Informed Design of a Socially Interactive Humanoid Robot
Andrew Specian, Ross Mead, Simon Kim, Maja Matari\'c, Mark Yim

TL;DR
This paper introduces Quori, an affordable, community-designed humanoid robot platform aimed at advancing socially interactive human-robot interaction research, with initial testing and deployment supporting diverse research needs.
Contribution
The paper presents a novel, cost-effective humanoid robot design developed with community input, enabling widespread HRI research and data collection.
Findings
Successful initial testing of Quori platform
Six-month deployment with diverse research groups
Community-involved design process
Abstract
Hardware platforms for socially interactive robotics can be limited by cost or lack of functionality. This paper presents the overall system -- design, hardware, and software -- for Quori, a novel, affordable, socially interactive humanoid robot platform for facilitating non-contact human-robot interaction (HRI) research. The design of the system is motivated by feedback sampled from the HRI research community. The overall design maintains a balance of affordability and functionality. Initial Quori testing and a six-month deployment are presented. Ten Quori platforms have been awarded to a diverse group of researchers from across the United States to facilitate HRI research to build a community database from a common platform.
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